RedSec
Active Directory

Unconstrained delegation concepts

Learn Unconstrained delegation concepts through a safe, repeatable active directory workflow.

core lab 30 min

This lab is part of the Active Directory track. It focuses on Unconstrained delegation concepts as a practical skill you can apply in labs, CTFs, and authorized assessments.

What you will learn

  • explain domain identity flow
  • recognize high-value relationships
  • collect evidence in a lab without disrupting services

The core idea

Unconstrained delegation concepts is useful when you can explain the system in front of you before you touch it. Start by naming the asset, the user, the trust boundary, and the expected control. Then compare the expected behavior with what the system actually does.

For this topic, write a one-sentence claim before testing: “I expect this control to stop this user from doing this action.” If the evidence contradicts the claim, you have something worth investigating. If it matches, record the result and move on.

Technique focus

  • Define what “Unconstrained delegation concepts” means in this track before using a tool.
  • List the observable signal that would prove the idea is relevant.
  • Write the safe lab boundary and stop condition before testing.

Safe practice workflow

  1. Define the target and confirm it is allowed.
  2. Create or choose test data that belongs to you.
  3. Record the normal behavior before changing inputs or state.
  4. Change one variable at a time and compare the response.
  5. Save only the evidence needed to explain the behavior.
  6. Write the likely fix or defensive control in plain language.

Checklist

  • Can you describe the security boundary without naming a tool?
  • Do you have a clean baseline request, file, log entry, or screenshot?
  • Did you avoid destructive actions and real user data?
  • Can another learner reproduce your observation from your notes?
  • Can you state the impact and the fix in one paragraph?

Checkpoint

Before moving on, write three lines in your notes: what you expected, what you observed, and what you would test next. That habit matters more than memorizing a payload because it scales across targets and technologies.